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IADIS International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2012

作者： Fominykh, Mikhail Prasolova-Førland, Ekaterina Divitini, Monica Program for Learning with ICT Norwegian University of Science and Technology Norway Department of Computer and Information Science Norwegian University of Science and Technology Norway

ISBN: (纸本)9781627483377

Creativity can be applied to every domain of knowledge and must be seen as an important competence. Supporting social creativity across different domains and disciplines in learning communities is an important part of collaborative process in both university education and in the context of large-scale international projects. In this paper, we present the experiences from the Virtual Summer School in Second Life as an attempt to support creative communities in a systematic manner. The Virtual Summer School acted as a forum for the presentation of innovative approaches, developments, and outcomes of research projects in the areas of technology-enhanced learning, serious games, and collaborative technologies, facilitating the exchange of ideas between students, researchers, and practitioners. To the end, we present lessons learned and implications for using this approach for supporting creative communities, outlining some recommendations and directions for future work.

关键词： Serious games

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Supporting collaborative creativity with educational visualizations in 3D virtual worlds

Supporting collaborative creativity with educational visuali...

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2012 International Workshops on Web-Based Learning, ICWL 2012 - KMEL, SciLearn, and CCSTED

作者： Fominykh, Mikhail Divitini, Monica Prasolova-Førland, Ekaterina Program for Learning with ICT Norwegian University of Science and Technology Norway Department of Computer and Information Science Norwegian University of Science and Technology Norway

ISBN: (纸本)9783662434536

Social media are known for substantial creativity support, as they allow users exploring, creating, and sharing various types of content. Social 3D virtual worlds, such as Second Life, can also be seen as a social media that have wide possibilities for being creative. In this paper, we explore how 3D virtual worlds can support creativity in educational settings, including creativity of the collaborative process and creativity of the outcome projects. We propose that this technology can support both. In order to test this proposal, we used the data collected in a case study that we conducted within Cooperation technology course at the Norwegian University of science and technology in 2011. The study was supported by the EU research project CoCreat. The data are discussed to present the challenges for supporting collaborative creativity with 3D virtual worlds, approaches to understanding the concept of creativity, and our experience in creativity evaluation. © 2014 Springer-Verlag.

关键词： Social networking (online)

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Predictive Value Chain Analysis to Improve Generalization Accuracy In Quality Assurance

Predictive Value Chain Analysis to Improve Generalization Ac...

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2024 International Conference on Control and Automation, Electronics, Robotics, Internet of Things, and Artificial Intelligence, CERIA 2024

作者： Harmayani Sihombing, Poltak Mahyudin Elveny, Marischa Universitas Sumatera Utara Postgraduate Program in Computer Science Faculty of Computer Science and Information Technology Medan Indonesia Universitas Sumatera Utara Faculty of Computer Science and Information Technology Medan Indonesia Universitas Sumatera Utara Faculty of Computer Science and Information Technology Postgraduate Doctorate in Computer Science Medan Indonesia

ISBN: (纸本)9798331511166

Adaptive predictive analysis model utilizing Spiking Neural Networks (SNNs) to enhance quality assurance processes in Smart Campus environments. Traditional predictive models often struggle with the dynamic and complex nature of educational data, leading to inaccurate predictions and inefficient decision-making. SNNs, inspired by biological neurons, are particularly suited for processing temporal data and adapting to evolving patterns. The proposed model integrates spike-timing-dependent plasticity (STDP) and dynamic weight adjustment to continuously learn and refine predictions in response to real-time data, ensuring improved accuracy and robustness. The study uses historical data from the Internal Quality Assurance System (SPMI) over a three-year period, focusing on key performance indicators such as student enrollment trends, faculty productivity, and resource utilization. Experimental results demonstrate that the SNN-based model outperforms traditional neural networks, achieving a 20% reduction in Mean Squared Error (MSE) and a higher R-squared value. These findings indicate that the model not only enhances predictive accuracy but also offers significant improvements in operational efficiency and resource management. By providing timely and precise insights, this model supports proactive decision-making in educational institutions, enabling administrators to optimize resource allocation, monitor academic quality, and anticipate future challenges. This research contributes to the growing field of artificial intelligence in education, offering a scalable, adaptive approach to managing complex data and improving institutional performance in real-time. © 2024 IEEE.

关键词： Data accuracy

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Multiview playback with ghost in required condition

Multiview playback with ghost in required condition

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26th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2012

作者： Tanaka, Yoshiyuki Komoriya, Kenji Uda, Ryuya Computer Science Program Tokyo University of Technology Graduate School Hachioji city Japan School of Computer Science Tokyo University of Technology Hachioji city Japan

ISBN: (纸本)9780769546520

Modern society has recently had problems with a variety of crimes. Surveillance cameras have been installed in various locations to protect assets from these crimes. When the incident occurred, it is needed to manually find out suspicious people in a large number of footage. Manually extracting prowlers is inefficient in which a lot of surveillance cameras have been installed and have taken a large number of people. Many methods to extract prowler have been proposed. One of the methods, it must give people special devices in advance. The other methods, it does not work without around people in order to extract suspicious behavior compared to around people. To solve the problems, we proposed a method acquiring data of bony framework from the footage using distance sensor to extract suspicious behavior depending on state of each joint. Therefore, it can practically detect suspicious person than those and does not need to give special device. In experimental result, distance errors when mounting distance sensors and cost of mounting are described. © 2012 IEEE.

关键词： Augmented reality

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Privacy protection on transfer system of automated teller machine from brute force attack

Privacy protection on transfer system of automated teller ma...

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26th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2012

作者： Kurita, Sho Komoriya, Kenji Uda, Ryuya Computer Science Program Tokyo University of Technology Graduate School Hachioji city Japan School of Computer Science Tokyo University of Technology Hachioji city Japan

ISBN: (纸本)9780769546520

Currently, an authentication system used in banks is to protect assets of users. However, these systems are weak against the peeping attack. That is high risk. Therefore, we proposed that a user safely enters credentials and information to transfer money after launching Live CD on stand-alone in place without risk of peeping attack such as a home. The entered information is encrypted by common key crypto system and stored in a QR code. If the peeping attack occurred, this information were protected by using the QR code, also can be high-speed processing. However, if QR codes ware obtained by unauthorized users, they can find out privacy information of owner by reading QR code to a ATM. Therefore, we propose that the system is appended function for privacy protection to the previous method. © 2012 IEEE.

关键词： Codes (symbols)

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Model of Web Based Application to Control Bridge Traveler Using Raspberry Pi 3

Model of Web Based Application to Control Bridge Traveler Us...

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3rd International Conference on computer science and Computational Intelligence, ICCSCI 2018

作者： Wisnusenna, Sebastian Yonatan, Michael Sunardy Wibisurya, Aswin Fanny Yuwono, Teguh Computer Science Program Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Mobile Appication and Technology Program Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Struktur Pintar Indonesia Jakarta12950 Indonesia

Bridge traveler is used to facilitate the construction and maintenance of a bridge which is controlled using control panel buttons, located inside the traveler. However, this method leads to some problems, like a difficulty of moving a traveler to a proper position (perspective) and an inhibition of work due to damaged control panel. In this research, a model of a web-based application to control a traveler with spans by using Raspberry Pi is developed. This research's contribution is a model of a web-based application for traveler automation in all possible movements of its components. As the results, the experiments show that the program implemented doesn't take much time and the execution of a command is done in a reasonable time. Moreover, for the safety of the bridge traveler, this program also implements a sensor that works when a component is at its most downward/inward position and detecting a blocking object in the middle of a possible movement and stops the movement immediately. © 2018 The Authors. Published by Elsevier Ltd.

关键词： Internet of things

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Optimizing solar-powered multi-generation systems for sustainable energy management in university buildings using Neural Networks and Genetic Algorithms

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Journal of Building Engineering 2025年 108卷

作者： Assareh, Ehsanolah Izadyar, Nima Jamei, Elmira Monzavian, Mohammad amin Agarwal, Saurabh Agarwal, Neha Strategic Research Institute (SRI) Asia Pacific University of Technology and Innovation (APU) Technology Park Malaysia Kuala Lumpur Built Environment and Engineering Program College of Sport Health and Engineering (CoSHE) Victoria University Melbourne Australia Department of Renewable Energy Technology Materials and Energy Research Center Dezful Branch Islamic Azad University Dezful Iran Institute for Sustainable Industries and Liveable Cities Victoria University Melbourne 3011 VIC Australia School of Computer Science and Engineering Yeungnam University Gyeongsan 38541 South Korea School of Chemical Engineering Yeungnam University Gyeongsan 38541 South Korea

University campuses operate like small cities, with complex energy demands driven by diverse activities, making energy management particularly challenging in extreme climates. Traditional energy systems often rely on fossil fuels, leading to inefficiencies, high costs, and increased carbon footprints. This study optimizes a solar-powered multi-generation system for a university building in the severe hot climate of Dezful, Iran, using a two-step approach. First, the Building Energy Optimization Tool (BEopt) was used to select optimal building materials, leading to a reduction in total energy demand. Then, Artificial Intelligence algorithms (Neural Networks and Genetic Algorithms) were applied to enhance system performance and cost-effectiveness. The Engineering Equation Solver (EES) validated the thermodynamic performance of the optimized system. This optimized system generates 49.55 GW-hours (GWh) of electricity annually, along with 19.47 GWh of heating and 13.93 GWh of cooling, producing a surplus of 34.28 GWh (69 % of total generation). Compared to the base case, electricity generation increased by over 224 %, cooling by 120 %, and heating by more than 3500 %, while CO₂ emissions decreased from 37.18 to 35.34 metric tons/year. The optimized system operates with an exergy efficiency of 23.44 % and a cost rate of 14.93 $/h. What sets this study novel is the integration of demand-side improvements with AI-enhanced multi-generation systems and thermodynamic validation, creating a practical model for achieving net-zero energy on university campuses. This methodology is scalable to more complex energy networks, including district energy systems, with future work focusing on real-time weather integration and advanced forecasting to improve adaptability and resilience. © 2025 The Authors

关键词： Artificial intelligence optimization Energy efficiency Renewable energy integration Solar-powered multi-generation systems Sustainable university campuses

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Apriori data mining on rotationally invariant multiresolutional moments for pattern recognition

Apriori data mining on rotationally invariant multiresolutio...

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9th Joint Conference on Information sciences, JCIS 2006

作者： Rodtook, A. Makhanov, S.S. Department of Computer Science Ramkhamhaeng University Thailand Information Technology and Computer Program Sirindhorn International Institute of Technology Thammasat University Thailand

ISBN: (纸本)9078677015

We propose a new feature selection procedure based on a combination of a pruning algorithm, Apriori mining techniques and fuzzy C-mean clustering. The feature selection algorithm is designed to mine on a multiresolution filter bank composed of rotationally invariant moments. The numerical experiments, with more than 10,000 images, demonstrate an accuracy increase of about 5% for a low noise, 15% for an average noise and 20% for a high-level noise.

关键词： Data mining

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Dynamic Model for Determining Disaster Evacuation Locations with Game Theory 1

Dynamic Model for Determining Disaster Evacuation Locations ...

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1st International Conference on Advanced Information Scientific Development, ICAISD 2020

作者： Safii, M. Efendi, Syahril Zarlis, Muhammad Mawengkang, Herman Doctoral Program Faculty of Computer Science and Information Technology Universitas Sumatera Utara Indonesia

Disaster management can be grouped into three stages with several activities that can be carried out starting from pre-disaster, during emergency response and post-disaster. In the pre-disasterstage one of which is mitigation, which is a series of efforts to reduce disaster risk, both through physical development and awareness raising and capacity to face the threat of disaster. In mitigation one important factor is about evacuation. Evacuation locations in disaster transportation management are urgently needed for an effective evacuation process. Evacuation location determination is a benchmark in handling evacuation that can minimize the impact of losses from the disaster. To determine the evacuation location dynamically using game theory can solve the problem by providing several alternative locations by showing the dominant factor in the variables in the selection of the evacuation site. Game theory will use pure and mixed strategies to provide the most optimum choice of criteria. With this method will produce a decision support system to determine the optimal evacuation location or safe area in disaster mitigation © 2020 Published under licence by IOP Publishing Ltd.

关键词： Site selection

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Confidential information poisoning methods by considering the information length in electronic portable devices

Confidential information poisoning methods by considering th...

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26th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2012

作者： Ishii, Junya Razali, Afiza Uda, Ryuya Computer Science Program Tokyo University of Technology Graduate School Hachioji City Japan

ISBN: (纸本)9780769546520

To prevent leakage of personal information and privacy, there is an AR technology in which secret information from handy device is overlaid on paper on which nothing about personal information is printed. The invention takes bothers away from people who have to care about printed papers when they dump them. However, to be overlaid, the secret information drawn from handy device such as smart phone must be kept in the phone or be taken from a server via the phone. Ultimately the phone has to be locked by password to prevent secret information from being leaked when the phone is lost. If the length of the password is short, the password may be broken easily by attackers, and if the length is long enough in terms of security, inputting of the password always bothers the owner of the phone. Therefore, we suggest a poisoning method that prevents attackers from finding correct information although 4 digits password is applied for locking the phone. In the method, dummy words cannot be winnowed out and they fit in the space for correct one. © 2012 IEEE.

关键词： Augmented reality

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